Software Engineering Manager - Fleet Management

Nscale is the GPU cloud engineered for AI, providing infrastructure for AI start-ups and large enterprises. They are seeking a Software Engineering Manager to lead the team building the Fleet Manager, overseeing the operational lifecycle of compute infrastructure and ensuring team health and delivery.

Responsibilities:

• Hire, onboard, and develop software engineers who thrive in a high-autonomy, high-accountability environment
• Coach performance and career growth, set clear expectations, and handle performance management directly and fairly
• Own on-call health, handover quality, and a sustainable operational load for the team
• Turn the Fleet Manager roadmap into executable plans: drive prioritization, manage dependencies and risks, and ship on commitments
• Run the team's planning, review, and escalation mechanisms, and remove blockers before they become delays
• Communicate status, risks, and trade-offs clearly to stakeholders — including when the news is bad
• Uphold engineering standards: code review, testing, CI/CD, incident response, and postmortems that produce durable fixes rather than closed tickets
• Own the operational health of the team's services: SLOs, observability, alerting, and incident management
• Partner with Principal and Staff engineers on architecture and design decisions that balance automation complexity, reliability, and maintainability
• Stay hands-on where it counts: review designs and code, dig into incidents, and write code where it unblocks the team
• Collaborate with Product, Infrastructure, Platform, SRE, and UI/UX to capture requirements early, align on interfaces, and ship integrations that meet operator needs
• Champion AI tools like Claude and Cursor across the team as a fundamental multiplier of what your engineers can build

Requirements:

• 8+ years of software engineering experience building and operating production systems, including 2+ years directly managing software engineers
• Strong technical foundation in Python and distributed systems: credible in design and code reviews, and able to guide trade-offs in infrastructure automation or workflow tooling
• Track record of delivering complex projects from ambiguous requirements to production, with hands-on day-2 operations experience (monitoring, incident response, performance optimization)
• Proven people leadership: hiring, coaching, performance management, and developing engineers toward senior and staff levels
• You are driven by building distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
• You use AI tools like Claude or Cursor as a core part of your workflow and know how to raise a whole team's leverage with them
• You stay effective while context-switching between technical depth, delivery judgment calls, and people leadership — reviewing a design, unblocking an engineer, and running a hiring debrief in the same morning
• Excellent communication skills to build consensus with stakeholders, both internally and externally
• Experience leading teams that build workflow orchestration systems (Temporal, Airflow, Prefect, or similar)
• Hands-on experience with infrastructure tooling: DCIMs, NetBox, OpenStack, or ERP systems
• Bare-metal provisioning and automation: MAAS, Ironic, IPMI, PXE boot, or network automation
• Experience building or managing hardware lifecycle automation: provisioning, validation, testing, or remediation workflows
• GPU infrastructure experience: health monitoring, burn-in testing, or cluster management
• HPC and networking: datacenter topology, high-performance interconnects (InfiniBand, RoCE)
• Working knowledge of Kubernetes, Infrastructure as Code (Terraform, Pulumi), AWS, and GCP
• Experience scaling a team through rapid growth: hiring pipelines, onboarding, and team processes that hold up under pressure